Data

This data release provides total nitrogen (TN) and total phosphorus (TP) annual loads for sites within the Chesapeake Bay, as well as ancillary data that describe potential nutrient sources and processes. The purpose of the study for which these data were developed is to test causal hypotheses, using structural equation models, related to the drivers of TN and TP load in the Chesapeake Bay over th

This data set contains cross-section geometry and sediment-size distribution data collected in the fall of 2015 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, Colorado. Six cross-sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below the reservoir. One cross-section was surveyed on Muddy Cree

This data set contains cross-section geometry and sediment-size distribution data collected in the fall of 2016 from Muddy Creek and North Fork Gunnison River below Paonia Reservoir, Colorado. Six cross-sections were surveyed using Real-Time Kinematic Global Navigation Satellite System (RTK-GNSS) methods to document channel geometry below the reservoir in 2015. Those same cross-sections were re-su

USGS is currently conducting biological surveys associated with uranium mines on federal lands in Arizona. These surveys include determining the composition of the local amphibian community at Canyon, Arizona 1, and Pinenut mines near the Grand Canyon. To aid in determining the amphibian species present at each mine site, we used acoustic monitoring recorded with a SM3Song Meter (Wildlife Acoustic

The dataset is provided as a .zip archive containing two .csv data files. These two data files contain the results of a series of timing runs made with a suite of 28 C test programs and 20 C++ test programs using three different computers and two operating systems (Windows and Linux). All 48 test programs carry out processing of two-dimensional arrays. One of the files, "C_CppTimeTestsAllRecords.c

To better characterize the water supply capacity of Clear Creek Reservoir, Chaffee County, Colorado, the U.S. Geological Survey, in cooperation with the Pueblo Board of Water Works and Colorado Mountain College, carried out a bathymetry survey of Clear Creek Reservoir. The bathymetry data of the reservoir is presented here in a 1-foot grid. The bathymetry survey was carried out June 69, 2016, usin

This data release documents seven enhancements to the U.S. Geological Survey (USGS) Precipitation-Runoff Modeling System (PRMS) hydrologic simulation code: two time-series input options, two new output options, and three updates of existing capabilities. The enhancements are (1) new dynamic parameter module, (2) new water-use module, (3) new Hydrologic Response Unit (HRU) summary output module, (4

A high-resolution (10-meter per pixel) digital elevation model (DEM) was created for the Sacramento-San Joaquin Delta using both bathymetry and topography data. This DEM is the result of collaborative efforts of the U.S. Geological Survey (USGS) and the California Department of Water Resources (DWR). The base of the DEM is from a 10-m DEM released in 2004 and updated in 2005 (Foxgrover and others,

This data release serves as an archive of elevation data collected in August 2010 from Sabine National Wildlife Refuge (SNWR), Louisiana. Point (xyz) elevations were collected from historically formed open-water bodies and the surrounding emergent marsh using a combination of stop-and-go (semi-kinematic) and kinematic differential Global Positioning System (DGPS) surveying techniques. These data w

Data release including concentrations of bioactive organic contaminants in water and sediment and biodegradation rates of select model contaminants in sediment from Congaree National Park during 2013-15. Chemical analyses for targeted organic analytes include, human-use pharmaceuticals, degradates and metabolites and hormones and organic wastewater indicator compounds. Samples were collected betwe

This USGS Data Release represents geospatial data sets that were created for the analysis of the effect of Hurricane Sandy on New Jersey Atlantic Coastal Marshes. The following listed image products were generated: 1) Fifteen marsh surface condition index (MSCI) data sets were calculated from yearly summer collections of ETM+ image data from 2000 to 2015. Three classes described the results of